Co-Pilot vs. Agent Guide
Understanding the contractual implications of AI autonomy levels
Co-Pilot AI
Risk: Low
AI that assists and augments human decision-making. The human remains in control of all actions and decisions.
Characteristics
- Provides recommendations and suggestions
- Requires human approval before any action
- Low risk — human validates all outputs
- Ideal for initial AI deployment and trust-building
- Examples: Draft generation, data analysis, anomaly flagging
Contract Implications
- Lower liability exposure due to human oversight
- Simpler compliance requirements
- Standard SLA frameworks apply
- Customer retains full operational control
Agentic AI
Risk: Medium-High
AI that can autonomously execute tasks and make decisions within defined parameters. Operates with delegated authority from the human.
Characteristics
- Executes actions autonomously within defined boundaries
- Requires governance frameworks and guardrails
- Higher risk — actions taken without real-time human review
- Best for mature AI adopters with established governance
- Examples: Automated approvals, self-service workflows, predictive actions
Contract Implications
- Requires robust guardrail provisions
- Enhanced audit trail and logging requirements
- Tiered autonomy frameworks recommended
- Shared liability model for autonomous actions
Transition Guidance
Most enterprise customers should start with Co-Pilot implementations and graduate to Agentic AI as organizational trust and governance maturity increase. Contract language should include provisions for this graduated transition.